Feng Wan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 10%
Papers in
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- Renal and related cancers 2
-
- Renal Diseases and Glomerulopathies 5
- Co-authors
- Serge Adnot (7 shared papers)Jian-zhong Shao (2 shared papers)Li‐xin Xiang (2 shared papers)Shariq Abid (6 shared papers)Amal Houssaïni (6 shared papers)Élisabeth Marcos (6 shared papers)Jean‐Luc Dubois‐Randé (5 shared papers)Valérie Amsellem (5 shared papers)
- Journals
- American Journal of Respiratory Cell and Molecular Biology (3 papers)Biomedicine & Pharmacotherapy (2 papers)Experimental Biology and Medicine (2 papers)Drug Design Development and Therapy (2 papers)Bioanalysis (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Feng Wan
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 149
- Nephrology 56
- Pharmaceutical Science 47
- Immunology 133
- Molecular Biology 426
Countries citing papers authored by Feng Wan
This map shows the geographic impact of Feng Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Wan more than expected).
Fields of papers citing papers by Feng Wan
This network shows the impact of papers produced by Feng Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Wan. The network helps show where Feng Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 153 | |
| 2 | 2013 | 122 | |
| 3 | 2017 | 80 | |
| 4 | 2008 | 70 | |
| 5 | 2014 | 59 | |
| 6 | 2021 | 49 | |
| 7 | 2015 | 49 | |
| 8 | 2013 | 34 | |
| 9 | 2016 | 34 | |
| 10 | 2021 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2012 | 27 | |
| 13 | 2023 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2018 | 15 |
About Feng Wan
Feng Wan is a scholar working on Molecular Biology, Nephrology, Epidemiology, Immunology and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Natural Compounds in Disease Treatment (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Bipolar Disorder and Treatment (2 papers), Renal and related cancers (2 papers), interferon and immune responses (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (149 citations), Nephrology (56 citations), Pharmaceutical Science (47 citations), Immunology (133 citations) and Molecular Biology (426 citations). Feng Wan has collaborated with scholars based in China, France and United States. Frequent co-authors include Serge Adnot, Jian-zhong Shao, Li‐xin Xiang, Shariq Abid, Amal Houssaïni, Élisabeth Marcos, Jean‐Luc Dubois‐Randé, Valérie Amsellem, Nathalie Mouraret and Dominique Rideau. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Biomedicine & Pharmacotherapy, Experimental Biology and Medicine, Drug Design Development and Therapy and Bioanalysis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.